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- 2000 – 2004 (10)

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- Docteur es (23)
- MS (11)

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University of Adelaide

1.
Bonyadi, Mohammadreza.
Particle swarm *optimization*: theoretical analysis, modifications, and applications to *constrained* *optimization* problems.

Degree: 2015, University of Adelaide

URL: http://hdl.handle.net/2440/92599

► This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very…
(more)

Subjects/Keywords: optimization; convergence; transformation invariance; constrained optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bonyadi, M. (2015). Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/92599

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Thesis, University of Adelaide. Accessed October 17, 2019. http://hdl.handle.net/2440/92599.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Web. 17 Oct 2019.

Vancouver:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2440/92599.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/92599

Not specified: Masters Thesis or Doctoral Dissertation

Oklahoma State University

2.
Govindarajan, Anand.
* Optimization* of Processes for Sustainability.

Degree: School of Chemical Engineering, 2011, Oklahoma State University

URL: http://hdl.handle.net/11244/9634

► This research is focused on developing a methodology to optimize processes for sustainability. To design a sustainable process that addresses economic, environmental and social concerns…
(more)

Subjects/Keywords: chemical processes; constrained; multiobjective; optimization; sustainability; weighted

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APA (6^{th} Edition):

Govindarajan, A. (2011). Optimization of Processes for Sustainability. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/9634

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/9634.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Web. 17 Oct 2019.

Vancouver:

Govindarajan A. Optimization of Processes for Sustainability. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/9634.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Govindarajan A. Optimization of Processes for Sustainability. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/9634

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

3.
Salazar De Troya, Miguel Angel A.
Adaptive mesh refinement in topology * optimization*.

Degree: PhD, Mechanical Engineering, 2019, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/104776

► This dissertation presents developments in stress *constrained* topology *optimization* with Adaptive Mesh Refinement (AMR). Regions with stress concentrations dominate the optimized design. As such, we…
(more)

Subjects/Keywords: topology; optimization; adaptive; mesh; refinement; stress; constrained

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APA (6^{th} Edition):

Salazar De Troya, M. A. A. (2019). Adaptive mesh refinement in topology optimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104776

Chicago Manual of Style (16^{th} Edition):

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104776.

MLA Handbook (7^{th} Edition):

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Web. 17 Oct 2019.

Vancouver:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104776.

Council of Science Editors:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104776

Rice University

4.
Geldermans, Peter.
Accelerated PDE *Constrained* *Optimization* using Direct Solvers.

Degree: MA, Engineering, 2018, Rice University

URL: http://hdl.handle.net/1911/105485

► In this thesis, I propose a method to reduce the cost of computing solutions to *optimization* problems governed by partial differential equations (PDEs). Standard second…
(more)

Subjects/Keywords: PDE constrained optimization; direct solvers; fast solvers

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APA (6^{th} Edition):

Geldermans, P. (2018). Accelerated PDE Constrained Optimization using Direct Solvers. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105485

Chicago Manual of Style (16^{th} Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Masters Thesis, Rice University. Accessed October 17, 2019. http://hdl.handle.net/1911/105485.

MLA Handbook (7^{th} Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Web. 17 Oct 2019.

Vancouver:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Internet] [Masters thesis]. Rice University; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1911/105485.

Council of Science Editors:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105485

Oklahoma State University

5.
Daneshyari, Moayed.
Cultural Particle Swarm * Optimization*.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

URL: http://hdl.handle.net/11244/7852

► In this dissertation, a computational paradigm is proposed that adopts the particle swarm *optimization* within a cultural framework. The cultural algorithm adopted here consists of…
(more)

Subjects/Keywords: constrained optimization; cultural algorithm; dynamic optimization; multiobjective optimization; particle swarm o

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APA (6^{th} Edition):

Daneshyari, M. (2010). Cultural Particle Swarm Optimization. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7852

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/7852.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Web. 17 Oct 2019.

Vancouver:

Daneshyari M. Cultural Particle Swarm Optimization. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/7852.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daneshyari M. Cultural Particle Swarm Optimization. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/7852

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

6. Kang, Bosung. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).

Degree: PhD, Electrical Engineering, 2015, Penn State University

URL: https://etda.libraries.psu.edu/catalog/26539

► Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP) since estimation of the disturbance or interference…
(more)

Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kang, B. (2015). Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26539

Chicago Manual of Style (16^{th} Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Doctoral Dissertation, Penn State University. Accessed October 17, 2019. https://etda.libraries.psu.edu/catalog/26539.

MLA Handbook (7^{th} Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Web. 17 Oct 2019.

Vancouver:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Oct 17]. Available from: https://etda.libraries.psu.edu/catalog/26539.

Council of Science Editors:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26539

Penn State University

7. Solo, Christopher James. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.

Degree: PhD, Industrial Engineering, 2009, Penn State University

URL: https://etda.libraries.psu.edu/catalog/9709

► This research involves the development of a flexible, multi-objective *optimization* tool for use by supply chain managers in the design and operation of manufacturing-distribution networks…
(more)

Subjects/Keywords: supply chain; uncertainty; stochastic optimization; robust optimization; chance-constrained goal programming

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APA (6^{th} Edition):

Solo, C. J. (2009). MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9709

Chicago Manual of Style (16^{th} Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Doctoral Dissertation, Penn State University. Accessed October 17, 2019. https://etda.libraries.psu.edu/catalog/9709.

MLA Handbook (7^{th} Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Web. 17 Oct 2019.

Vancouver:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Oct 17]. Available from: https://etda.libraries.psu.edu/catalog/9709.

Council of Science Editors:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9709

Lehigh University

8.
Samadi, Mohammadreza.
Efficient Trust Region Methods for Nonconvex * Optimization*.

Degree: PhD, Industrial Engineering, 2018, Lehigh University

URL: https://preserve.lehigh.edu/etd/4370

► For decades, a great deal of nonlinear *optimization* research has focused on modeling and solving convex problems. This has been due to the fact that…
(more)

Subjects/Keywords: Complexity Analysis; Constrained Optimization; Nonconvex Optimization; Trust Region Algorithms; Industrial Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Samadi, M. (2018). Efficient Trust Region Methods for Nonconvex Optimization. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4370

Chicago Manual of Style (16^{th} Edition):

Samadi, Mohammadreza. “Efficient Trust Region Methods for Nonconvex Optimization.” 2018. Doctoral Dissertation, Lehigh University. Accessed October 17, 2019. https://preserve.lehigh.edu/etd/4370.

MLA Handbook (7^{th} Edition):

Samadi, Mohammadreza. “Efficient Trust Region Methods for Nonconvex Optimization.” 2018. Web. 17 Oct 2019.

Vancouver:

Samadi M. Efficient Trust Region Methods for Nonconvex Optimization. [Internet] [Doctoral dissertation]. Lehigh University; 2018. [cited 2019 Oct 17]. Available from: https://preserve.lehigh.edu/etd/4370.

Council of Science Editors:

Samadi M. Efficient Trust Region Methods for Nonconvex Optimization. [Doctoral Dissertation]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4370

Georgia Tech

9.
Rajora, Manik.
Intelligent manufacturing for production planning based upon hierarchically coupled *constrained* and multimodal * optimization*.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/59847

► Hierarchically coupled *constrained* *optimization* problems (HCCOPs) are commonly encountered in the manufacturing industries, however, they haven’t been categorized as such. Due to a lack of…
(more)

Subjects/Keywords: Hierarchically coupled constrained optimization; Multimodal optimization; Scheduling; Evolutionary algorithm

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Rajora, M. (2018). Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59847

Chicago Manual of Style (16^{th} Edition):

Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/59847.

MLA Handbook (7^{th} Edition):

Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Web. 17 Oct 2019.

Vancouver:

Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/59847.

Council of Science Editors:

Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59847

Georgia Tech

10.
Torrico Palacios, Alfredo Ignacio.
RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS * OPTIMIZATION*.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/61720

► Resource allocation and subset selection are two relevant classes of problems in the core of combinatorial *optimization*. Over the past decade, there has been an…
(more)

Subjects/Keywords: Combinatorial Optimization; Online Optimization; Online Bipartite Matching; Constrained Submodular Maximization

Record Details Similar Records

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APA (6^{th} Edition):

Torrico Palacios, A. I. (2019). RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61720

Chicago Manual of Style (16^{th} Edition):

Torrico Palacios, Alfredo Ignacio. “RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION.” 2019. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/61720.

MLA Handbook (7^{th} Edition):

Torrico Palacios, Alfredo Ignacio. “RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION.” 2019. Web. 17 Oct 2019.

Vancouver:

Torrico Palacios AI. RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/61720.

Council of Science Editors:

Torrico Palacios AI. RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61720

University of Washington

11.
Dueri, Daniel Alejandro.
Real-time *Optimization* in Aerospace Systems.

Degree: PhD, 2019, University of Washington

URL: http://hdl.handle.net/1773/43279

► Algorithm design for autonomous vehicles has been attracting immense research interest, and with the proliferation of self-driving cars, autonomous drone delivery systems, and the increasing…
(more)

Subjects/Keywords: constrained optimization; convex optimization; optimal control theory; real-time optimization; Aerospace engineering; Aeronautics and astronautics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dueri, D. A. (2019). Real-time Optimization in Aerospace Systems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43279

Chicago Manual of Style (16^{th} Edition):

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Doctoral Dissertation, University of Washington. Accessed October 17, 2019. http://hdl.handle.net/1773/43279.

MLA Handbook (7^{th} Edition):

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Web. 17 Oct 2019.

Vancouver:

Dueri DA. Real-time Optimization in Aerospace Systems. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1773/43279.

Council of Science Editors:

Dueri DA. Real-time Optimization in Aerospace Systems. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43279

Oklahoma State University

12.
Kadkol, Ashwin A.
Culture Based Particle Swarm *Optimization* Framework for *Constrained* Dynamic Multiple Objective * Optimization*.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

URL: http://hdl.handle.net/11244/10224

► Real world *optimization* problems are usually dynamic multiple objective in nature with several constraints on the function values in the presence of uncertainties and bounds…
(more)

Subjects/Keywords: computational intelligence; constrained optimization; cultural algorithm; dynamic optimization; multiple objective optimization; pid controller

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kadkol, A. A. (2010). Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10224

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kadkol, Ashwin A. “Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization.” 2010. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/10224.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kadkol, Ashwin A. “Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization.” 2010. Web. 17 Oct 2019.

Vancouver:

Kadkol AA. Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/10224.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kadkol AA. Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/10224

Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

13.
Chernikov, Dmitry.
PDE *Constrained* *Optimization* in Stochastic and Deterministic Problems of Multiphysics and Finance
.

Degree: 2017, University of Arizona

URL: http://hdl.handle.net/10150/626368

► In this dissertation we investigate methods of solving various *optimization* problems with PDE constraints, i.e. *optimization* problems that have a system of partial differential equations…
(more)

Subjects/Keywords: adjoint differentiation; automatic differentiation; multiphysics; nonlinear optimization; optimization of portfolio of options; PDE-constrained optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chernikov, D. (2017). PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626368

Chicago Manual of Style (16^{th} Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Doctoral Dissertation, University of Arizona. Accessed October 17, 2019. http://hdl.handle.net/10150/626368.

MLA Handbook (7^{th} Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Web. 17 Oct 2019.

Vancouver:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10150/626368.

Council of Science Editors:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626368

14.
Vanitha M.
Investigations on non convex economic load dispatch
problem and solution through *constrained* *optimization*
techniques;.

Degree: non convex economic load dispatch problem and solution through constrained optimization techniques, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/16071

►

In the modern scenario, the electric power generation is very newlineessential and is a major criterion for all power related applications. There are newlinevarious resources… (more)

Subjects/Keywords: Constrained optimization techniques; Economic Load Dispatch; Electrical engineering

Record Details Similar Records

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APA (6^{th} Edition):

M, V. (2014). Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16071

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Thesis, Anna University. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Web. 17 Oct 2019.

Vancouver:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071

Not specified: Masters Thesis or Doctoral Dissertation

15. Narmathabanu R. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.

Degree: Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/30145

►

The ability of a power system to withstand the occurrence of newlinecontingencies like outage of transmission line or generator without any newlineuntoward incident is called… (more)

Subjects/Keywords: Genetic Algorithm; Security Constrained Optimal Power Flow; Several optimization techniques

Record Details Similar Records

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APA (6^{th} Edition):

R, N. (2014). Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/30145

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Thesis, Anna University. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Web. 17 Oct 2019.

Vancouver:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145

Not specified: Masters Thesis or Doctoral Dissertation

University of Tennessee – Knoxville

16. Moon, Sangwoo. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.

Degree: 2010, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_graddiss/829

► Due to the increasing demand for high dimensional data analysis from various applications such as electrocardiogram signal analysis and gene expression analysis for cancer detection,…
(more)

Subjects/Keywords: Support vector machine; independent component analysis; Hybrid dimensionality reduction; Constrained optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Moon, S. (2010). A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/829

Chicago Manual of Style (16^{th} Edition):

Moon, Sangwoo. “A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.” 2010. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 17, 2019. https://trace.tennessee.edu/utk_graddiss/829.

MLA Handbook (7^{th} Edition):

Moon, Sangwoo. “A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.” 2010. Web. 17 Oct 2019.

Vancouver:

Moon S. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2010. [cited 2019 Oct 17]. Available from: https://trace.tennessee.edu/utk_graddiss/829.

Council of Science Editors:

Moon S. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2010. Available from: https://trace.tennessee.edu/utk_graddiss/829

Louisiana State University

17. Ciftci, Okan. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.

Degree: MSEE, Power and Energy, 2017, Louisiana State University

URL: https://digitalcommons.lsu.edu/gradschool_theses/4351

► Microgrid energy management is a challenging and important problem in modern power systems. Several deterministic and stochastic models have been proposed in the literature…
(more)

Subjects/Keywords: microgrid; energy management; energy storage; flexibility; data-driven; chance-constrained optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ciftci, O. (2017). Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. (Masters Thesis). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_theses/4351

Chicago Manual of Style (16^{th} Edition):

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Masters Thesis, Louisiana State University. Accessed October 17, 2019. https://digitalcommons.lsu.edu/gradschool_theses/4351.

MLA Handbook (7^{th} Edition):

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Web. 17 Oct 2019.

Vancouver:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Internet] [Masters thesis]. Louisiana State University; 2017. [cited 2019 Oct 17]. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351.

Council of Science Editors:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Masters Thesis]. Louisiana State University; 2017. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351

Virginia Tech

18.
Hunter, Susan R.
Sampling Laws for Stochastically *Constrained* Simulation *Optimization* on Finite Sets.

Degree: PhD, Industrial and Systems Engineering, 2011, Virginia Tech

URL: http://hdl.handle.net/10919/39742

► Consider the context of selecting an optimal system from among a finite set of competing systems, based on a â stochasticâ objective function and *subject*…
(more)

Subjects/Keywords: optimal allocation; constrained simulation optimization; ranking and selection

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hunter, S. R. (2011). Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39742

Chicago Manual of Style (16^{th} Edition):

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 17, 2019. http://hdl.handle.net/10919/39742.

MLA Handbook (7^{th} Edition):

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Web. 17 Oct 2019.

Vancouver:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10919/39742.

Council of Science Editors:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/39742

Curtin University of Technology

19.
Yu, Changjun.
A study of *optimization* and optimal control computation : exact penalty function approach
.

Degree: 2012, Curtin University of Technology

URL: http://hdl.handle.net/20.500.11937/2387

► In this thesis, We propose new computational algorithms and methods for solving four classes of *constrained* *optimization* and optimal control problems. In Chapter 1, we…
(more)

Subjects/Keywords: new computational algorithms; constrained optimization and optimal control; constraint violation

Record Details Similar Records

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APA (6^{th} Edition):

Yu, C. (2012). A study of optimization and optimal control computation : exact penalty function approach . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/2387

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Thesis, Curtin University of Technology. Accessed October 17, 2019. http://hdl.handle.net/20.500.11937/2387.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Web. 17 Oct 2019.

Vancouver:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Internet] [Thesis]. Curtin University of Technology; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/20.500.11937/2387.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Thesis]. Curtin University of Technology; 2012. Available from: http://hdl.handle.net/20.500.11937/2387

Not specified: Masters Thesis or Doctoral Dissertation

Utah State University

20.
Chandrasekaran, Saranya.
Bio-Inspired Distributed *Constrained* *Optimization* Technique and its Application in Dynamic Thermal Management.

Degree: MS, Electrical and Computer Engineering, 2010, Utah State University

URL: https://digitalcommons.usu.edu/etd/701

► The stomatal network in plants is a well-characterized biological system that hypothetically solves the *constrained* *optimization* problem of maximizing CO2 uptake from the air while…
(more)

Subjects/Keywords: bio-inspired; constrained optimization technique; application; dynamic thermal management; Computer Engineering

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chandrasekaran, S. (2010). Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/701

Chicago Manual of Style (16^{th} Edition):

Chandrasekaran, Saranya. “Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management.” 2010. Masters Thesis, Utah State University. Accessed October 17, 2019. https://digitalcommons.usu.edu/etd/701.

MLA Handbook (7^{th} Edition):

Chandrasekaran, Saranya. “Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management.” 2010. Web. 17 Oct 2019.

Vancouver:

Chandrasekaran S. Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. [Internet] [Masters thesis]. Utah State University; 2010. [cited 2019 Oct 17]. Available from: https://digitalcommons.usu.edu/etd/701.

Council of Science Editors:

Chandrasekaran S. Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. [Masters Thesis]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/701

University of New South Wales

21. Hu, Wei. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.

Degree: Banking & Finance, 2011, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

► As traditional contingent claims valuation methods do not apply to non-transferable and non-hedgeable contingent claims, recent proliferation of such claims creates the need for the…
(more)

Subjects/Keywords: Stochastic discount factor; ESO; Constrained portfolio optimization; Credit risk; Reload option

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hu, W. (2011). VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Web. 17 Oct 2019.

Vancouver:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

Council of Science Editors:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

University of New South Wales

22.
Hamza, Noha.
Hybridizing constraint consensus methods with evolutionary algorithms for *constrained* * optimization*.

Degree: Engineering & Information Technology, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

► Solving *Constrained* *Optimization* Problems (COPs) has been an important research topic in the *optimization*, operation research, and computer science domains. In COPs, an optimal solution…
(more)

Subjects/Keywords: Genetic Algorithms; Evolutionary Algorithms; Constrained Optimization; Differential Evolution

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hamza, N. (2012). Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

Chicago Manual of Style (16^{th} Edition):

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Masters Thesis, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

MLA Handbook (7^{th} Edition):

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Web. 17 Oct 2019.

Vancouver:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Internet] [Masters thesis]. University of New South Wales; 2012. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

Council of Science Editors:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Masters Thesis]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

University of Southern California

23. Wang, Yi. Towards energy efficient mobile sensing.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526

► Mobile device based urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location…
(more)

Subjects/Keywords: constrained stochastic optimization; energy efficiency; mobile sensing; state estimation

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, Y. (2011). Towards energy efficient mobile sensing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526

Chicago Manual of Style (16^{th} Edition):

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526.

MLA Handbook (7^{th} Edition):

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Web. 17 Oct 2019.

Vancouver:

Wang Y. Towards energy efficient mobile sensing. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526.

Council of Science Editors:

Wang Y. Towards energy efficient mobile sensing. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526

University of New South Wales

24. Sallam, Karam. A Study of Function Landscape and Search Space with Evolutionary Algorithms.

Degree: Engineering & Information Technology, 2018, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

► *Optimization* techniques are used extensively to solve many real-world decision making problems which have different characteristics and mathematical properties that make the process of ﬁnding…
(more)

Subjects/Keywords: diﬀerential evolution; Evolutionary algorithms; constrained optimization; landscape analysis; reduced search space

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sallam, K. (2018). A Study of Function Landscape and Search Space with Evolutionary Algorithms. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Web. 17 Oct 2019.

Vancouver:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

Council of Science Editors:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

University of New South Wales

25.
Chand, Shelvin.
Automated Design of Heuristics for the Resource *Constrained* Project Scheduling Problem.

Degree: Engineering & Information Technology, 2018, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true

► Classical project scheduling problem (PSP) usually involves a set of non-preempt-able and precedence related activities that need to be scheduled. The resource *constrained* project scheduling…
(more)

Subjects/Keywords: Resource Constrained Project Scheduling; Optimization; Scheduling; Heuristics; Hyper-Heuristics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chand, S. (2018). Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Chand, Shelvin. “Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem.” 2018. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Chand, Shelvin. “Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem.” 2018. Web. 17 Oct 2019.

Vancouver:

Chand S. Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true.

Council of Science Editors:

Chand S. Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true

University of New South Wales

26.
Hamza, Noha.
Search Techniques for Evolutionary *Constrained* * Optimization*.

Degree: Engineering & Information Technology, 2016, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

► Solving *Constrained* *Optimization* Problems (COPs) has been an important research topic in the *optimization*, operation research, and computer science domains. Over the last few decades,…
(more)

Subjects/Keywords: differential evolution; Evolutionary algorithms; constrained optimization; constraint consensus; constraint-handling

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hamza, N. (2016). Search Techniques for Evolutionary Constrained Optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Web. 17 Oct 2019.

Vancouver:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

Council of Science Editors:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

Queens University

27.
Peter, Samuel.
* Constrained* extremum-seeking control in discrete-time with application to liquefier unit power minimization
.

Degree: Chemical Engineering, 2016, Queens University

URL: http://hdl.handle.net/1974/14287

► Given the increasing complexity of engineering systems, difficulties are often met in developing models that describe these systems accurately. If the model is used for…
(more)

Subjects/Keywords: Liquefier Optimization; Constrained ESC; time-varying ESC; ESC

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Peter, S. (2016). Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14287

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Thesis, Queens University. Accessed October 17, 2019. http://hdl.handle.net/1974/14287.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Web. 17 Oct 2019.

Vancouver:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Internet] [Thesis]. Queens University; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1974/14287.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14287

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

28.
Turner, Jason Eric.
A new method for projection based model reduction of linear inequality *constrained* systems.

Degree: MS, Aerospace Engineering, 2019, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/104952

► Computational modeling research centers around developing ever better representations of physics. The objective of model reduction specialists is to take that high fidelity understanding and…
(more)

Subjects/Keywords: Constrained Optimization; Model Reduction; POD; Generalized Coordinate Bounding

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Turner, J. E. (2019). A new method for projection based model reduction of linear inequality constrained systems. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104952

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Turner, Jason Eric. “A new method for projection based model reduction of linear inequality constrained systems.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104952.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Turner, Jason Eric. “A new method for projection based model reduction of linear inequality constrained systems.” 2019. Web. 17 Oct 2019.

Vancouver:

Turner JE. A new method for projection based model reduction of linear inequality constrained systems. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104952.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Turner JE. A new method for projection based model reduction of linear inequality constrained systems. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104952

Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

29.
Allmendinger, Richard.
Tuning evolutionary search for closed-loop * optimization*.

Degree: PhD, 2012, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386

► Closed-loop *optimization* deals with problems in which candidate solutions are evaluated by conducting experiments, e.g. physical or biochemical experiments. Although this form of *optimization* is…
(more)

Subjects/Keywords: 519.6; Optimization; Closed-loop optimization; Evolutionary computation; Constrained optimization; Dynamic optimization; Reinforcement learning; Adaptation; Bandit algorithms

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Allmendinger, R. (2012). Tuning evolutionary search for closed-loop optimization. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386

Chicago Manual of Style (16^{th} Edition):

Allmendinger, Richard. “Tuning evolutionary search for closed-loop optimization.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386.

MLA Handbook (7^{th} Edition):

Allmendinger, Richard. “Tuning evolutionary search for closed-loop optimization.” 2012. Web. 17 Oct 2019.

Vancouver:

Allmendinger R. Tuning evolutionary search for closed-loop optimization. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Oct 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386.

Council of Science Editors:

Allmendinger R. Tuning evolutionary search for closed-loop optimization. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386

The Ohio State University

30.
Sun, Chuangchuang.
Rank-*Constrained* *Optimization*: Algorithms and
Applications.

Degree: PhD, Aero/Astro Engineering, 2018, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114

► Matrix rank related *optimization* problems comprise rank-*constrained* optimizationproblems (RCOPs) and rank minimization problems, which involve the matrix rank functionin the objective or the constraints. General…
(more)

Subjects/Keywords: Aerospace Engineering; Computer Science; Computer Engineering; Engineering; Electrical Engineering; optimization, rank-constrained optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sun, C. (2018). Rank-Constrained Optimization: Algorithms and Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114

Chicago Manual of Style (16^{th} Edition):

Sun, Chuangchuang. “Rank-Constrained Optimization: Algorithms and Applications.” 2018. Doctoral Dissertation, The Ohio State University. Accessed October 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114.

MLA Handbook (7^{th} Edition):

Sun, Chuangchuang. “Rank-Constrained Optimization: Algorithms and Applications.” 2018. Web. 17 Oct 2019.

Vancouver:

Sun C. Rank-Constrained Optimization: Algorithms and Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Oct 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114.

Council of Science Editors:

Sun C. Rank-Constrained Optimization: Algorithms and Applications. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114